Latest Articles for Training Data

RoboCasa simulates environments for robots to learn everyday tasks effectively.

Exploring how LLMs use reasoning to tackle complex tasks.

Explore the learning abilities of language models and their applications.

Innovative strategies enhance material predictions using machine learning surrogates.

Testing LLMs is essential for safe and effective AI applications.

A new method improves translating mixed-language speech into English.

A new method uses natural language explanations to improve entity matching.

Introducing reflective augmentation to improve language models’ math problem-solving skills.

Examining the roots and implications of bias in language technology.

A new model enhances news article suggestions across multiple languages.

New algorithms enhance predictions of quantum ground states using limited data.

UrbanLLM streamlines urban management by breaking down complex city-related queries.

Two new models aim to improve technology access for Galician speakers.

Examining how LLMs exhibit personality traits through new testing methods.

Data contamination affects the evaluation of large language models significantly.

A new method improves privacy protection in language models while maintaining performance.

ATLAS enhances seismic data selection using active learning and representation shifts.

A simple method to create voices and control emotions in speech synthesis.

A new technique improves imaging of brain blood vessels, aiding research.

An analysis of language models and their role in healthcare.

A flexible approach for generating CFEs that respects data privacy concerns.

Exploring fairness issues in AI language models and their implications.

A new method enhances accuracy in question-answering for black-box language models.

This article analyzes repetitive structures in text generated by language models.

Insights on the challenges of machine learning in predicting material properties.

A new method uses translation to enhance language model training.

A new approach enhances reasoning in language models by generating controlled errors.

This study breaks down how transformers utilize context in language prediction.

Code poisoning enhances risks of membership inference attacks on sensitive data.

New method enhances learning in image-text models using composite examples.

SLIMER enhances NER performance by focusing on definitions and guidelines.

A new approach enhances fluid flow modeling for better resource management.

This research examines how language models predict the order of adjectives.

This article discusses enhancing kernel ridgeless regression using LAB RBF kernels.

Research shows simple input changes can lead to harmful outputs in LLMs.

A new method improves image generation using limited datasets effectively.

A study on how VAEs perform across different demographic groups under attack.

Exploring the risks and implications of replication in visual diffusion model technology.

New method automates realistic indoor scene design using object placement order.

This study evaluates how well large models handle multiple objects in images.